Journal article
Anatomical modeling with fuzzy implicit surfaces: Application to automated localization of the heart and lungs in thoracic MR images
INFORMATION PROCESSING IN MEDICAL IMAGING, PROCEEDINGS, Vol.1613, pp.400-405
LECTURE NOTES IN COMPUTER SCIENCE
01/01/1999
DOI: 10.1007/3-540-48714-x_36
Abstract
In this paper a novel model driven segmentation approach for thoracic MR-images is presented. The goal of this work is to coarsely, but fully automatically localize the boundary surfaces of the heart and lungs in thoracic MR sets. The major organs in the thorax are described in a three-dimensional analytical model template by combining a set of fuzzy implicit surfaces by means of Constructive Solid Geometry, and formulating model registration as an energy minimization. The method has been validated on 20 thoracic MR volumes from two centers (patients and normal subjects). On average 90 % of the contour length of the heart and lung contours was localized with sufficient accuracy (average 6 mm positional error) to automatically provide the initial conditions for a subsequently applied locally accurate segmentation method.
Details
- Title: Subtitle
- Anatomical modeling with fuzzy implicit surfaces: Application to automated localization of the heart and lungs in thoracic MR images
- Creators
- BPF LelieveldtM Sonka - University of IowaL Bolinger - University of IowaT D Scholz - University of Iowa Hospitals and ClinicsHWM KayserR J van der Geest - Leiden University Medical CenterJHC Reiber
- Contributors
- A Kuba (Editor)M Samal (Editor)A ToddPokropek (Editor)
- Resource Type
- Journal article
- Publication Details
- INFORMATION PROCESSING IN MEDICAL IMAGING, PROCEEDINGS, Vol.1613, pp.400-405
- Series
- LECTURE NOTES IN COMPUTER SCIENCE
- DOI
- 10.1007/3-540-48714-x_36
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Publisher
- Springer Nature
- Number of pages
- 6
- Language
- English
- Date published
- 01/01/1999
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Child and Community Health; Ophthalmology and Visual Sciences
- Record Identifier
- 9984353933102771
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